Colored deconvolution of mixed phase wavelet

LI Jing; ZHOU Shixin; GONG Shuhua; ZHENG Zhaoyang; FU Deliang

doi:10.3969/j.issn.1673-8926.2013.03.014

Lithologic Reservoirs >

2013 , Vol. 25 >Issue 3: 82 - 86

DOI: https://doi.org/10.3969/j.issn.1673-8926.2013.03.014

Colored deconvolution of mixed phase wavelet

LI Jing ,
ZHOU Shixin ,
GONG Shuhua ,
ZHENG Zhaoyang ,
FU Deliang

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1. PetroChina Research Institute of Petroleum Exploration & Development-Northwest， Lanzhou 730020， China； 2. Key Laboratory of Geophysical Exploration， China National Petroleum Corporation， China University of Petroleum， Beijing 102249， China

Online published: 2013-06-01

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Abstract

The conventional seismic data process methods for high resolution assume that reflection coefficient series are accordant with Gaussian Gauss White Noise. Through the statistical analysis of reflection coefficients obtained from the actual logging data, it is concluded that the reflection coefficients are non-Gaussian distribution and their spectrums tend to blue, which can be applied to extract mixed phase wavelet and carry out deconvolution. Based on systematic analysis of the method of high order cumulant mixed phase wavelet extraction, and in order to avoid the influence of phase winding and accumulated error on phase estimation accuracy, the method of multi path average bispectrum was proposed. The actual seismic data processing result shows that this method can improve the resolution of seismic records
effectively and enhance its ability of detecting thin layer.

Key words： source rocks; bitumen; biomarker; paleo-reservoir; oil-source correlation; northeastern Sichuan

Cite this article

LI Jing , ZHOU Shixin , GONG Shuhua , ZHENG Zhaoyang , FU Deliang . Colored deconvolution of mixed phase wavelet[J]. Lithologic Reservoirs, 2013 , 25(3) : 82 -86 . DOI: 10.3969/j.issn.1673-8926.2013.03.014

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